Study links experimental stroke protection to the brain’s backup blood vessels
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 07:15 ET (29-Oct-2026 11:15 GMT/UTC)
A preclinical study from Duke University researchers suggests that the effectiveness of an experimental approach to limiting stroke-related brain injury may depend not only on the drug itself, but also on the brain’s collateral circulation: the network of small “backup” blood vessels that can help sustain tissue when a major artery is blocked.
ATP-induced cell death (AICD) is an operational conceptual framework describing the associations between pathological extracellular ATP accumulation, excessive purinergic stimulation, disrupted ATP homeostasis and diverse cell-death outcomes. This review summarizes recent evidence on the molecular mechanisms of AICD, including extracellular ATP–purinergic receptor signaling, ionic and membrane disturbances, inflammasome and caspase activation, mitochondrial dysfunction, redox imbalance, and the context-dependent convergence of these pathways on multiple forms of cell death. The directness and strength of gene-level evidence are also assessed using an ordinal evidence-grading framework that classifies the evidence for the 38 AICD-Core genes as direct experimental, indirect, context-dependent, mechanistically supportive, or currently insufficient. These mechanistic analyses, as well as gene-level analyses, are discussed in relation to the existing datasets in ATPexGen, which contains 38 AICD-Core and 216 AICD-Extended genes and provides a searchable and downloadable resource for the field of AICD research. The review also addresses gaps in current evidence, limitations of curation processes, and priorities for experimental validation and database development moving forward.
Founded in 2014 by Alex Zhavoronkov, PhD, Founder and Co-CEO of Insilico Medicine, ARDD made its North American debut in Boston following years of growth in Europe. What began as an academically focused scientific gathering has evolved into a global forum connecting fundamental aging biology with the computational power, industrial capabilities, and investment needed to advance a new generation of longevity technologies.
Researchers have developed SuSha, a multi-model ensemble learning tool that predicts a microorganism's salt tolerance directly from its genome. Trained on the amino acid composition of 123 bacterial and archaeal species and validated on 2,678 metagenomes from freshwater, marine, and hypersaline habitats worldwide, SuSha achieved over 90% accuracy for extreme halophiles. It offers a powerful way to study the more than 81% of microbes that cannot be cultured in the lab.
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